Multi-objective optimization of coronary stent using Kriging surrogate model
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- 作者：Hongxia Li ; Junfeng Gu ; Minjie Wang ; Danyang Zhao…
- 关键词：Stent ; Dogboning ; Radial elastic recoil ; Black ; box techniques ; Kriging surrogate model ; Design optimization
- 刊名：BioMedical Engineering OnLine
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：15
- 期：2-supp
- 全文大小：2924KB
- 刊物类别：Engineering
- 刊物主题：Biomedical Engineering; Biomaterials; Biotechnology; Biomedical Engineering/Biotechnology;
- 出版者：BioMed Central
- ISSN：1475-925X
- 卷排序：15
文摘
BackgroundIn stent design optimization, the functional relationship between design parameters and design goals is nonlinear, complex, and implicit and the multi-objective design of stents involves a number of potentially conflicting performance criteria. Therefore it is hard and time-consuming to find the optimal design of stent either by experiment or clinic test. Fortunately, computational methods have been developed to the point whereby optimization and simulation tools can be used to systematically design devices in a realistic time-scale. The aim of the present study is to propose an adaptive optimization method of stent design to improve its expansion performance.